Multi-input cardiac image super-resolution using convolutional neural networks

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 9902 LNCS, Issue , 2016, Pages 246-254

  Oktay, Ozan ^a   Bai, Wenjia ^a   Lee, Matthew ^a   Guerrero, Ricardo ^a   Kamnitsas, Konstantinos ^a   Caballero, Jose ^b   De Marvao, Antonio ^a   Cook, Stuart ^a   O’Regan, Declan ^a   Rueckert, Daniel ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b Magic Pony Technology   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CONVOLUTION; HEART; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; MOTION ANALYSIS; NEURAL NETWORKS; OPTICAL RESOLVING POWER;

ACCURATE ANALYSIS; CLINICAL ROUTINE; COMPUTATIONALLY EFFICIENT; CONVOLUTIONAL NEURAL NETWORK; IMAGE SUPER RESOLUTIONS; INTERPOLATION METHOD; QUANTITATIVE MEASUREMENT; UPSCALING METHODS;

IMAGE ANALYSIS;

EID: 84996536677     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-46726-9_29     Document Type: Conference Paper

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